Evidence map›Paper›PMID 33575222›Full record

ArticleFrontiers in oncology2020

Upregulation of Long Non-Coding RNA GCC2-AS1 Facilitates Malignant Phenotypes and Correlated With Unfavorable Prognosis for Lung Adenocarcinoma.

Fengqiang Yu, Mingqiang Liang, Weidong Wu, Yu Huang, Jiantao Zheng, Bin Zheng, Chun Chen

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Fengqiang YuDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Mingqiang LiangDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Weidong WuDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Yu HuangDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Jiantao ZhengDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Bin ZhengDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Chun ChenDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Union Hospital · CNFujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role played by long noncoding RNA GCC2-AS1 in primary malignant tumors remains poorly understood. This study aimed to determine the expression levels and evaluate the clinical significance and biological effects of GCC2-AS1 in lung adenocarcinoma (LUAD).

methodsWe used data obtained from tissue samples and the TCGA database to determine the levels of GCC2-AS1 expression LUAD patients, and the prognostic value of those levels. Functional experiments were performed to investigate the effect of GCC2-AS1 on LUAD cells. Genes that were differentially expressed in GCC2-AS1-low and -high groups were analyzed by an enrichment analysis. Additionally, a nomogram model was created and subgroup analyses were performed to further determine the prognostic value of GCC2-AS1 in LUAD.

resultsGCC2-AS1 expression was significantly upregulated in lung adenocarcinoma tissues as compared with normal tissues. Depletion of GCC2-AS1 inhibited the proliferation and invasion of LUAD cells

conclusionsOur findings suggest that GCC2-AS1 can serve as a diagnostic and prognostic biomarker for LUAD patients.

Indexed as

GCC2-AS1lncRNAlung adenocarcinomaprognosisThe Cancer Genome Atlas

Identifiers

PMID33575222
PMCPMC7870869
OpenAlexW3122567667

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.